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756. Factors that Increase Engagement on Social Media for an Infectious Diseases Fellowship Program

BACKGROUND: Social media is increasingly being used among Infectious Disease (ID) programs. It can be a valuable recruitment tool in addition to providing education, self-promotion, and increasing collaborations across the ID community. We sought to analyze factors associated with increased engageme...

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Autores principales: Cherian, John, Herc, Erica, Yared, Nicholas F, Brar, Indira, Gudipati, Smitha, Shallal, Anita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10678507/
http://dx.doi.org/10.1093/ofid/ofad500.817
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author Cherian, John
Herc, Erica
Yared, Nicholas F
Brar, Indira
Gudipati, Smitha
Shallal, Anita
author_facet Cherian, John
Herc, Erica
Yared, Nicholas F
Brar, Indira
Gudipati, Smitha
Shallal, Anita
author_sort Cherian, John
collection PubMed
description BACKGROUND: Social media is increasingly being used among Infectious Disease (ID) programs. It can be a valuable recruitment tool in addition to providing education, self-promotion, and increasing collaborations across the ID community. We sought to analyze factors associated with increased engagement for our ID fellowship program’s Twitter account. METHODS: We analyzed various metrics from consecutive Twitter posts and utilized the Twitter Analytics Dashboard to extract data from time of account inception. Impressions were defined as the number of times a tweet was seen by users, and engagements as a composite of interactions with a tweet. Tweet content was organized into educational, social, promotional, and other categories. Educational content was subcategorized into tweetorial, microbiology, question & answer (Q&A), and journal articles. A subset of tweets were analyzed for engagement from April 2022 to March 2023 for trends according to content and date the tweet was posted. Standard univariate descriptive statistical analyses, moods median test, and one-way analysis of variance was performed. Data analysis was performed using R version 3.4.0. RESULTS: 460 tweets were posted from October 2020 to March 2023 (Figure 1). Educational subcategories showed a large amount of engagement related to microbiology, with specifically more retweets, likes, and profile clicks (Table 1). There was no difference in engagement based on time of day of tweet (Table 2), although profile clicks were significantly more likely if tweets occurred on a weekend (p=0.04). A subset of 284 tweets from April 2022 to March 2023 revealed that months where multiple content categories were tweeted resulted in the most engagement (Figure 2). Generally, more twitter posts correlated with more engagement with a Pearson correlation coefficient of 0.7. [Figure: see text] [Figure: see text] [Figure: see text] CONCLUSION: To increase engagement with social media, there should be frequent tweets with varied content categories. Subcategories of content such as microbiology tweets draw further interest and showcase a program's educational and clinical innovation. [Figure: see text] DISCLOSURES: Indira Brar, MD, Gilead: Advisor/Consultant|Gilead: Grant/Research Support|Gilead: Honoraria|Janssen: Grant/Research Support|Janssen: Honoraria|ViiV: Advisor/Consultant|ViiV: Grant/Research Support|ViiV: Honoraria
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spelling pubmed-106785072023-11-27 756. Factors that Increase Engagement on Social Media for an Infectious Diseases Fellowship Program Cherian, John Herc, Erica Yared, Nicholas F Brar, Indira Gudipati, Smitha Shallal, Anita Open Forum Infect Dis Abstract BACKGROUND: Social media is increasingly being used among Infectious Disease (ID) programs. It can be a valuable recruitment tool in addition to providing education, self-promotion, and increasing collaborations across the ID community. We sought to analyze factors associated with increased engagement for our ID fellowship program’s Twitter account. METHODS: We analyzed various metrics from consecutive Twitter posts and utilized the Twitter Analytics Dashboard to extract data from time of account inception. Impressions were defined as the number of times a tweet was seen by users, and engagements as a composite of interactions with a tweet. Tweet content was organized into educational, social, promotional, and other categories. Educational content was subcategorized into tweetorial, microbiology, question & answer (Q&A), and journal articles. A subset of tweets were analyzed for engagement from April 2022 to March 2023 for trends according to content and date the tweet was posted. Standard univariate descriptive statistical analyses, moods median test, and one-way analysis of variance was performed. Data analysis was performed using R version 3.4.0. RESULTS: 460 tweets were posted from October 2020 to March 2023 (Figure 1). Educational subcategories showed a large amount of engagement related to microbiology, with specifically more retweets, likes, and profile clicks (Table 1). There was no difference in engagement based on time of day of tweet (Table 2), although profile clicks were significantly more likely if tweets occurred on a weekend (p=0.04). A subset of 284 tweets from April 2022 to March 2023 revealed that months where multiple content categories were tweeted resulted in the most engagement (Figure 2). Generally, more twitter posts correlated with more engagement with a Pearson correlation coefficient of 0.7. [Figure: see text] [Figure: see text] [Figure: see text] CONCLUSION: To increase engagement with social media, there should be frequent tweets with varied content categories. Subcategories of content such as microbiology tweets draw further interest and showcase a program's educational and clinical innovation. [Figure: see text] DISCLOSURES: Indira Brar, MD, Gilead: Advisor/Consultant|Gilead: Grant/Research Support|Gilead: Honoraria|Janssen: Grant/Research Support|Janssen: Honoraria|ViiV: Advisor/Consultant|ViiV: Grant/Research Support|ViiV: Honoraria Oxford University Press 2023-11-27 /pmc/articles/PMC10678507/ http://dx.doi.org/10.1093/ofid/ofad500.817 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of Infectious Diseases Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstract
Cherian, John
Herc, Erica
Yared, Nicholas F
Brar, Indira
Gudipati, Smitha
Shallal, Anita
756. Factors that Increase Engagement on Social Media for an Infectious Diseases Fellowship Program
title 756. Factors that Increase Engagement on Social Media for an Infectious Diseases Fellowship Program
title_full 756. Factors that Increase Engagement on Social Media for an Infectious Diseases Fellowship Program
title_fullStr 756. Factors that Increase Engagement on Social Media for an Infectious Diseases Fellowship Program
title_full_unstemmed 756. Factors that Increase Engagement on Social Media for an Infectious Diseases Fellowship Program
title_short 756. Factors that Increase Engagement on Social Media for an Infectious Diseases Fellowship Program
title_sort 756. factors that increase engagement on social media for an infectious diseases fellowship program
topic Abstract
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10678507/
http://dx.doi.org/10.1093/ofid/ofad500.817
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